
2. Data Analysis Collaborate with data analysts to understand the data and provide meaningful insights through visualizations.
3. Data Extraction, Transformation and Warehousing Build and orchestrate ETL/ELT pipelines. Design and implement SQL pools and data warehouse schema
4. User Experience Design interactive, user-friendly dashboards and reports that meet the needs of different stakeholders, making data-driven decision-making accessible to non-technical users.
5. Data Quality: Ensure the accuracy and integrity of the data displayed in visualizations by collaborating with the data engineering team.
6. Storytelling: Develop narratives around data visualizations to help stakeholders understand key insights and trends.
7. Collaboration Work closely with cross-functional teams, including data scientists, business analysts, and executives, to gather requirements and ensure the successful delivery of data visualization projects.
8. Research and Innovation Stay up-to-date with data visualization trends and tools and suggest improvements to existing processes.

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